Global Radiology AI Market Size Study & Forecast, by Type (Diagnostic Radiology, Interventional Radiology), by Application (Clinics, Hospitals, Diagnostic Centres, Others), Modality (Computer Tomography (CT), Magnetic Resonance Imaging (MRI), X-Ray, Ultra

The Global Radiology AI Market is valued at approximately USD 1.35 billion in 2024 and is projected to expand at a compelling CAGR of 14.50% throughout the forecast period from 2025 to 2035, with historical benchmarks anchored in 2023 and 2024 and 2024 positioned as the base year for estimation. Radiology AI refers to the deployment of artificial intelligence and machine learning algorithms to assist radiologists in interpreting medical images, prioritizing cases, and enhancing diagnostic accuracy. By stepping in to augment clinical decision-making rather than replace it, AI-powered radiology solutions are rapidly being worked into everyday workflows across imaging departments worldwide.

The market’s momentum is being carried forward by the surging global imaging volumes, a growing shortage of skilled radiologists, and mounting pressure on healthcare systems to deliver faster, more accurate diagnoses. As chronic diseases, trauma cases, and age-related conditions continue to pile up, AI solutions are being leaned on to flag abnormalities, streamline reporting, and reduce diagnostic errors. In parallel, advances in deep learning, cloud computing, and data interoperability are pushing vendors to roll out more sophisticated platforms. Nevertheless, challenges such as data privacy concerns, regulatory scrutiny, and integration complexities within legacy hospital IT systems may slow down adoption in certain regions during the 2025–2035 forecast window.

The detailed segments and sub-segments included in the report are:

By Type:
• Diagnostic Radiology
• Interventional Radiology

By Application:
• Clinics
• Hospitals
• Diagnostic Centres
• Others

By Modality:
• Computer Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• X-Ray
• Ultrasound
• Mammography
• Others

By Offering:
• On-Devices Software
• Software/SaaS

By Indication:
• Oncology
• Cardiology
• Neurology
• Pulmonology/Respiratory Diseases
• Orthopedics
• Others

By Region:

North America
• U.S.
• Canada

Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe

Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific

Latin America
• Brazil
• Mexico

Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Diagnostic radiology is expected to dominate the Global Radiology AI Market over the forecast period, accounting for the largest share as AI tools become deeply embedded in routine imaging modalities such as X-rays, CT scans, MRIs, and mammography. The sheer volume of diagnostic imaging procedures, combined with the growing need to reduce turnaround times and improve detection rates, has positioned diagnostic radiology as the primary growth engine. While interventional radiology is steadily gaining traction through AI-assisted procedural planning and real-time image guidance, diagnostic applications continue to command broader adoption and stronger investment flows.

From a revenue standpoint, hospitals currently lead the market, driven by their high patient throughput, advanced imaging infrastructure, and greater financial capacity to invest in enterprise-level AI solutions. Hospitals are increasingly scaling up AI deployments across radiology departments to improve workflow efficiency and clinical outcomes. Diagnostic centres are emerging as a fast-growing revenue segment, as independent imaging providers adopt AI to differentiate services, handle growing scan volumes, and maintain competitiveness in cost-sensitive healthcare environments.

Geographically, North America holds a dominant position in the Global Radiology AI Market, supported by early technology adoption, favorable reimbursement structures, and a strong presence of leading AI developers and healthcare IT companies. Europe follows closely, benefiting from rising digital health initiatives and cross-border research collaborations. Asia Pacific is poised to register the fastest growth during the forecast period, as expanding healthcare infrastructure, increasing diagnostic imaging demand, and government-led digital health programs in countries such as China and India accelerate the uptake of AI-enabled radiology solutions.

Major market players included in this report are:
• Siemens Healthineers AG
• GE HealthCare Technologies Inc.
• Philips Healthcare
• IBM Watson Health
• Aidoc Medical Ltd.
• Viz.ai, Inc.
• Zebra Medical Vision Ltd.
• Nanox AI Ltd.
• Riverain Technologies
• Arterys, Inc.
• Qure.ai Technologies Pvt. Ltd.
• Enlitic, Inc.
• Lunit Inc.
• Vuno Inc.
• ScreenPoint Medical B.V.

Global Radiology AI Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast period - 2025-2035
• Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa

The objective of the study is to define market sizes of different segments and countries in recent years and to forecast values for the coming years, grounded in historical data from 2023 and 2024 with 2024 as the analytical base. The report blends qualitative insights with quantitative analysis to shed light on the key drivers, challenges, and opportunities shaping the future of the market. It further delivers a comprehensive assessment of competitive dynamics, strategic initiatives, and product portfolios of leading players operating within the global radiology AI ecosystem.

Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional-level analysis for each market segment.
• Detailed analysis of the geographical landscape with country-level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of the competitive structure of the market.
• Demand side and supply side analysis of the market.

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